The authors assessed differences in both therapeutic and dyskinesia-matched
concentrations of levodopa by kinetic-dynamic modeling in a large cohort o
f patients with Parkinson disease grouped by severity of symptoms. The goal
was to provide kinetic-dynamic approach to levodopa therapy monitoring to
assist treating physicians in rationalizing patients' drug schedules in lin
e with disease progression. Eighty-six patients, grouped according to Hoehn
& Yahr (H&Y) clinical stage (H&Y I, n = 23; II, n = 25; III; n = 25; IV, n
= 13) enrolled in the study. After a 12-hour levodopa washout each patient
was examined using a standard oral levodopa test, based on simultaneous se
rial measurements of plasma levodopa concentrations, finger-tapping motor e
ffects, and dyskinesia ratings. The kinetic-dynamic modeling for both effec
ts was carried out according to the "link" effect compartment model and sig
moidal pharmacodynamic model. Levodopa plasma kinetics did not differ among
patient groups. Duration of motor response was significantly (p < 0.001) c
urtailed in patients in advanced clinical stages whereas dyskinesia duratio
n showed minor changes among the three affected groups (H&Y II, III, and IV
). Median effective concentrations (EC50) were increased at the more advanc
ed clinical stage (p < 0.001), from a median 0.2 mug/mL in patients at H&Y
stage I to 0.9 mug/mL in patients at H&Y stage IV, whereas the maximum effe
ct showed less consistent changes among the four groups. Intrasubject levod
opa therapeutic concentrations were lower than values for dyskinesias in pa
tients at the moderate stage of the disease, equaling dyskinesia-matched dr
ug concentrations in the more affected patients. These findings are in line
with previous observations of major changes in levodopa concentration-effe
cts relationship with disease progression and support a stratification of p
atients with Parkinson disease according; to kinetic-dynamic modeling. From
a practical point of view, knowledge of individual patients' kinetic-dynam
ic variables can help the physician assess patients' clinical needs objecti
vely and optimize levodopa dosing according to disease progression.